iPhone 17 Pro
Geekbench AI Score
9371
Single Precision Score
17879
Half Precision Score
19295
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ks5z |
| Upload Date | March 19 2026 11:40 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| Model | iPhone 17 Pro |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | Apple A19 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4327
804.7 IPS |
|
|
Image Classification (HP)
|
100% |
8670
1.61 KIPS |
|
|
Image Classification (Q)
|
99% |
8958
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6130
99.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9658
156.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10551
171.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20364
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54063
63.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
69060
80.9 IPS |
|
|
Object Detection (SP)
|
100% |
4504
357.2 IPS |
|
|
Object Detection (HP)
|
100% |
8609
682.9 IPS |
|
|
Object Detection (Q)
|
94% |
9629
767.8 IPS |
|
|
Face Detection (SP)
|
100% |
11970
142.2 IPS |
|
|
Face Detection (HP)
|
100% |
26287
312.3 IPS |
|
|
Face Detection (Q)
|
100% |
25418
302.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17712
136.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34461
265.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
37907
296.0 IPS |
|
|
Style Transfer (SP)
|
100% |
44509
57.2 IPS |
|
|
Style Transfer (HP)
|
100% |
96430
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
124266
160.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10417
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19139
706.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21818
805.6 IPS |
|
|
Text Classification (SP)
|
100% |
3580
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6563
8.76 KIPS |
|
|
Text Classification (Q)
|
93% |
6541
8.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
6101
105.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7807
134.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6662
115.1 IPS |
